Hi, I'mHillary Ozoma

With a Master's degree in Data Analytics and eight years of diverse IT experience, I've evolved into a specialist at the forefront of autonomous AI systems and agentic frameworks. My expertise spans architecting intelligent agents that reason, plan, and execute tasks autonomously—from multi-agent orchestration systems and AI automation pipelines to production-grade SaaS platforms powered by autonomous decision-making capabilities. I build systems with React, Next.js, TypeScript, and Node.js on the frontend, while orchestrating sophisticated agent frameworks and LLM-powered automation on the backend.

My research thesis on LSTM networks for influenza outbreak prediction achieved 95.9% R² accuracy, laying the foundation for my work in predictive autonomous systems. Today, I design and deploy agentic AI solutions: intelligent agents that use tools, make decisions, maintain memory across interactions, and collaborate in multi-agent environments to solve complex problems. From building AI-powered SaaS features like intelligent command palettes and autonomous data analysis to developing custom agent frameworks for workflow automation, I bridge cutting-edge AI research with production engineering. I'm currently pursuing PhD opportunities in agentic AI, multi-agent systems, and AI ethics.

I specialize in the complete autonomous systems lifecycle—from designing agent architectures and implementing multi-agent coordination protocols to deploying self-improving AI systems at scale. Whether architecting LangChain-based agent frameworks, building retrieval-augmented generation (RAG) systems, training reinforcement learning agents with PyTorch, or orchestrating containerized microservices with Docker and Kubernetes, I bring both cutting-edge AI research expertise and production engineering excellence to create truly autonomous, intelligent systems.